SIMONE:针对Simulink模型的架构敏感的近靶克隆检测

J. Cordy
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引用次数: 3

摘要

识别软件系统的相似片段或克隆,在软件工程和维护中有许多应用,包括质量控制和改进、标准遵从、测试管理和故障分析和预防。代码相似度分析系统,又称克隆检测系统,是传统软件代码维护中一项成熟且应用广泛的技术。随着模型驱动工程的不断发展,像Simulink这样的技术越来越广泛地应用于汽车软件系统的设计和实现。由于Simulink IDE的复制-粘贴创作范例,以及汽车应用程序中元素和任务的固有相似性,汽车Simulink模型特别容易克隆。因此,找到Simulink模型克隆的能力同样重要,但研究和使用的要少得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SIMONE: architecture-sensitive near-miss clone detection for Simulink models
Identification of similar fragments of software systems, or clones, has many applications in software engineering and maintenance, including quality control and improvement, standards compliance, test management and failure analysis and prevention. Code similarity analysis systems, or clone detectors, are a mature and widely used technology in traditional software code maintenance. As model driven engineering continues to advance, technologies such as Simulink are increasingly widely used to design and implement automotive software systems. Automotive Simulink models are particularly prone to cloning due to the copy-paste authoring paradigm of the Simulink IDE, and the inherent similarity of elements and tasks in automotive applications. Thus the ability to find Simulink model clones is equally important, but is much less thoroughly studied and used.
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